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An evaluation mechanism for saliency functions used in localized image fusion quality metrics

Hossny, M., Nahavandi, S. and Creighton, D. 2012, An evaluation mechanism for saliency functions used in localized image fusion quality metrics, in UKSim 2012 : Proceedings of the 14th International Conference on Computer Modelling and Simulation, IEEE, Los Alamitos, Calif., pp. 407-415.

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Title An evaluation mechanism for saliency functions used in localized image fusion quality metrics
Author(s) Hossny, M.
Nahavandi, S.
Creighton, D.
Conference name Computing modelling and simulation. Conference (14th : 2012 : Cambridge, England)
Conference location Cambridge, England
Conference dates 28-30 Mar. 2012
Title of proceedings UKSim 2012 : Proceedings of the 14th International Conference on Computer Modelling and Simulation
Editor(s) Al-Dabass, David
Orsoni, Alessandra
Cant, Richard
Publication date 2012
Conference series Computing modelling and simulation. Conference
Start page 407
End page 415
Total pages 9
Publisher IEEE
Place of publication Los Alamitos, Calif.
Keyword(s) image fusion
quality metrics
Summary Image fusion is a proven value adding technique for image analysis. Automated image fusion aims to give the fusion system the ability to select, analyze and evaluate fusion-worthy images. This paper examines the evolution of present techniques used for assessing quality of image fusion operators. It also presents an algorithm that objectively evaluates the realism of saliency functions used in image fusion quality measures. Most image fusion quality metrics depend on estimating the amount of information transferred from each source image into the fused image. This algorithm rebuilds the fused image using the estimated information from each source image and compares it to the original fused image.
ISBN 9781467313667
9780769546827
Language eng
Field of Research 080106 Image Processing
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2012, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30049210

Document type: Conference Paper
Collection: Centre for Intelligent Systems Research
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Created: Thu, 01 Nov 2012, 13:10:34 EST